q s l

Quantitative Studies Laboratory

The Quantitative Studies Lab (QSL) is a group of students and faculty interested in the application of computing technology to problems in natural resource ecology and management. We are a part of the Department of Environmental and Forest Biology at the State University of New York, College of Environmental Science and Forestry. Areas into which we regularly delve include: population dynamics and parameter estimation, modeling and simulation, Geographical Information Systems (GIS) and the analysis of spatial data, applied statistics, numerical analysis, hierarchical modeling, and Bayesian inference. Email inquiries to Dr. H. Brian Underwood (;


brian underwood

Dr. Brian Underwood, Adjunct Associate Professor

426 Illick Hall
1 Forestry Drive
Syracuse, NY 13210

As Research Biologist with the USGS Patuxent Wildlife Research Center, Dr. Underwood's research focuses on wildlife management on US public lands, including Fire Island National Seashore, Morristown National Historic Park, and other national parks.  His research projects include:  feasibility of contraception for white-tailed deer populations, and its effects on rutting behavior; physiological and metabolic effects of supplemental feeding on deer fawns in the Adirondacks; relationships among birds, mammals and ticks in the ecology of Lyme disease; and problem solving in monitoring programs of free-ranging deer populations.  Dr. Underwood heads a research team of National Park Service and Humane Society staff at Fire Island National Seashore, the goal of which is to determine if a population effect can be accomplished for a free-ranging population of white-tailed deer.

jacqui frair

Dr. Jacqueline Frair, Assistant Professor
250 Illick Hall
1 Forestry Drive
Syracuse, NY 13210

As a wildlife ecologist, I seek to understand the factors underlying the distribution and abundance of free-ranging animal populations. Advances in spatial technologies (GIS and GPS) allow us to study the movements, habitat use, and survival of wide-ranging animals in great detail, providing critical links between observable animal behavior and population-level patterns of species occurrence and abundance. It is within this realm that my research interests lie, and my experience has largely been with wide-ranging species such as elk and wolves.


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State University of New York College of Environmental Science and Forestry
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